entropix
Generate count-based Distributional Semantic Models by sampling SVD singular vectors instead of using top components.
Install
pip install entropix
or, after a git clone:
python3 setup.py install
Use
Sequential mode
entropix sample \
--model /abs/path/to/dense/numpy/model.npy \
--vocab /abs/path/to/corresponding/model.vocab \
--dataset dataset_to_optimize_on \ # men, simlex or simverb
--shuffle \
--mode seq \
--kfold-size .2 \ # size of kfold, between 0 and .5
--metric pearson \ # spr(spearman), pearson, rmse or both (spr+rmse)
--num-threads 5
Limit mode
entropix sample \
--model /abs/path/to/dense/numpy/model.npy \
--vocab /abs/path/to/corresponding/model.vocab \
--dataset dataset_to_optimize_on \ # men, simlex or simverb
--mode limit \
--metric pearson \
--limit 10 # number of dimensions to sample
1 maintainer
Metadata
1 maintainer
Release files for entropix 2.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| entropix-2.0.1.tar.gz | 7.9 kB | Details |
Release files / entropix-2.0.1.tar.gz
| Download URL | entropix-2.0.1.tar.gz |
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| Size | 7.9 kB |
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